Carter, Anthony_MCS_2020

Title Carter, Anthony_MCS_2020
Alternative Title Applying Machine Learning to Predicting Human Life Expectancy, and Distance from Birth Location to Death's Location Using Genealogical Data
Creator Carter, Anthony
Collection Name Master of Computer Science
Description I focused on the following research questions: can I predict better than the majority class for the following questions: will a person reach adulthood, or predict within reasonable bounds of a person at their age at time of death? How about the distance from the location of their birth to their location of death? Finally, for the previous questions, does having generational information about a person's parents and grandparents make the prediction more accurate or is family history a non-important factor? I used multiple machine learning algorithms for these predictions based on if it is a classification prediction. For example, I used regression prediction for the question on if a person reaching adulthood and for the questions about the age at time of death and distance from the location of birth to location of death. For classification, I used decision trees, knearest neighbor, naïve Bayes, and neural networks. For regression, I used linear regression, regression tree, and neural networks. I show that for classification, I am capable of getting within several percentage points away from beating the majority class but was always fall short. For regression, I am not capable reducing the root mean square error to be less than 20% of the mean result.
Subject Computer science
Keywords Family history; Machine learning algorithms
Digital Publisher Stewart Library, Weber State University
Date 2020
Language eng
Rights The author has granted Weber State University Archives a limited, non-exclusive, royalty-free license to reproduce their theses, in whole or in part, in electronic or paper form and to make it available to the general public at no charge. The author retains all other rights.
Source University Archives Electronic Records; Master of Computer Science. Stewart Library, Weber State University
OCR Text Show
Format application/pdf
ARK ark:/87278/s6qe37wc
Setname wsu_smt
ID 96826
Reference URL https://digital.weber.edu/ark:/87278/s6qe37wc